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Building Conversational AI Applications (Part 2 of 3)
This three-part workshop will teach you to quickly build and deploy a conversational AI pipeline including transcription, natural language processing (NLP), and speech.
You’ll explore automatic speech recognition (ASR) and text-to-speech (TTS) models and their customization in detail with the NVIDIA NeMo framework and learn how to deploy the models with Riva. Finally, you’ll explore Riva services' production-level deployment performance and scaling considerations with Helm charts and Kubernetes clusters.
This second session will explore the key components of the TTS pipeline and pipeline customizations.
- The third session (Oct 30) will work through performance, optimization, scaling, and production challenges.
Important
This is the second session of three-part course. Register for the series through session 1.
A laptop is required to participate. Students can borrow a laptop through the library’s Tech Lending program.
Prerequisites:
- Basic Python programming experience
- Fundamental understanding of a deep learning framework, such as TensorFlow, PyTorch, or Keras
- Basic understanding of neural networks
- Completion of Session 1 held on Oct 16
- Date:
- Wednesday, October 23, 2024 Show more dates
- Time:
- 1:00pm - 3:00pm
- Location:
- The Catalyst (Parks 199)
- Audience:
- Faculty Grad students & postdocs ISU staff Undergrads
- Categories:
- Workshop > The Catalyst
Office hours will be held for this class from 3-4 p.m., on Wednesdays, Oct 16, 23, and 30.
This workshop is part of a collaboration between Transitional AI Center (TrAC) and University Library to bring classes from the NVIDIA Deep Learning Institute to Iowa State. Questions about the program can be sent to trac@iastate.edu